• Create and structure data domains across treasury, finance, risk, FP&A, and accounting — defining granularity, business logic, and data ownership from scratch where needed • Own source-to-target mapping end-to-end — extract, transform, enrich, cleanse, and map data from messy source systems into clean, reliable outputs • Translate business needs into clear technical requirements — work directly with finance, treasury, and risk stakeholders to clarify what they actually need, and spec that clearly for technology teams or external vendors • Navigate accounting and financial nuance — understand concepts like management fee structures (receivables vs. payables, date logic, transaction-level detail), ratings hierarchies, and cash flow categorization well enough to avoid pulling the wrong data • Operate with minimal ramp-up — whether you've worked inside a comparable firm or come from a strong treasury/risk data background, you're expected to orient quickly and drive work forward without heavy training

**What You'll Do:** - Analyse large-scale time-series, sensor, and operational datasets using Python and PySpark - Detect trends, anomalies, and performance deviations across distributed data sources - Quantify data correlations and correction factors to improve measurement accuracy and reliability - Build and optimize complex SQL and SparkSQL queries to deliver ad-hoc insights - Design reusable data pipelines and automations for monitoring and data quality checks - Automate KPI aggregation from APIs, databases, and external systems - Standardize analytical workflows and data-processing practices across teams - Curate and prepare datasets for AI, machine learning, and RAG-based applications - Design and maintain interactive BI dashboards and self-service reporting solutions - Support root-cause investigations and provide rapid analytical support during operational incidents - Collaborate with cross-functional stakeholders to translate business needs into scalable data solutions - Act as a technical advisor for analytics best practices, tooling, and data-driven decision-making

Title: People Analytics Analyst Location: Mountain View, CA, Warren, MI, or Austin, TX Job Description: time type Full time job requisition id JR-202610946 Job Description Work Arrangement Role can site remotely, Pacific or Mountain Time Zone preferred. If you are within 50 miles of Mountain View, CA, Warren, MI, or Austin, TX you will be required to work a Hybrid schedule - 3 days a week onsite. The Role GM’s People Analytics Center of Excellence is seeking a curious, data-driven People Analytics Analyst to join our team. In this role, you’ll be deployed across different parts of our business, partnering with People Analytics Consultants to deliver actionable insights that inform strategic talent decisions, improve organizational effectiveness, and enhance the employee experience. You’ll leverage your analytical skills and HR data knowledge to help us advance our analytics capabilities and enable data-driven decisions at scale. What’s in it for you? You’ll have the opportunity to work on a diverse range of projects, gaining broad exposure to different business areas and challenges. You’ll help shape our talent strategy, design insights that matter, and be part of a team that values innovation and curiosity. If you’re passionate about data storytelling and want to make an impact, this is the place for you. Responsibilities - Analyze complex people data and deliver clear, actionable insights to support strategic talent decisions across multiple business units. - Work independently to determine the best analytical approach for each project, while collaborating closely with People Analytics Consultants. - Present findings and recommendations to business leaders in a compelling, accessible way. - Support projects related to organizational health, hiring and retention, workforce planning, employee experience, and more. - Contribute to the development and enhancement of People Analytics solutions by sharing feedback and ideas. - Manage multiple projects simultaneously, prioritizing work that drives the greatest impact for the business. Requirements - 3+ years of client-facing (internal or external) People Analytics, or Human Capital Consulting experience. - Bachelor’s, or Master's Degree with a quantitative focus (e.g., Mathematics, Statistics, IO Psychology) and/or a degree in HR preferred, or equivalent professional experience. - Strong analytical skills, with proficiency in inferential statistics (e.g., correlation, regression) and the ability to translate data into actionable insights. - Experience with analytics tools such as Excel, Power BI, SQL, R, or Python (advanced tools preferred, but not required). - Solid understanding of HR data and employee lifecycle processes (talent acquisition, development, workforce planning, employee listening, etc.). - Strong data analytics skills with the ability to leverage multiple internal and external data sources to enable data-driven insights and inform strategic talent decisions. - Excellent communication skills, with the ability to present complex findings to business leaders. - Proven ability to work independently in a fast‑paced, dynamic environment, managing multiple concurrent projects and adapting to shifting priorities while maintaining high standards of quality. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. - The salary range for this role is $98,300 - $150,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Title: Data Analyst II Location: Boston Full time job requisition id RQ4065713 Site: The General Hospital Corporation Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary Summary Responsible for extracting knowledge and insights from data in order to investigate business/operational problems through a range of data preparation, modeling, analysis, and/or visualization techniques. Does this position require Patient Care? No Essential Functions -Collects, analyzes, and reports data to support decisions on day-to-day operations, strategic planning, and/or specific business performance issues. -Collates, models, interprets, and analyzes data. -Explains variances and trends in data. -Identifies and documents enhancements to modeling techniques. -Completes thorough quality assurance procedures, ensuring accuracy, reliability, trustworthiness, and validity of work. -Performs data validation of source-to-target data for data visuals and dashboards. Qualifications Education Bachelor's Degree Analysis required or Bachelor's Degree Related Field of Study required Can this role accept experience in lieu of a degree? Yes Licenses and Credentials Experience Experience working with data, preferably healthcare data 2-3 years required Knowledge, Skills and Abilities - Healthcare knowledge, particularly as it pertains to electronic medical record data, is preferred but not required. - Working knowledge of relational databases, SQL, data visualization, and Business Intelligence tools such as Tableau. - Knowledge and application of statistical analyses, including variance analysis and statistical significance, are preferred. - Project management skills and/or experience are a plus. - Proficiency with Microsoft Office Suite, including Word, Excel and PowerPoint. Additional Job Details (if applicable) The Department of Orthopaedic Surgery at Massachusetts General Hospital (MGH), a Harvard teaching hospital, is seeking a mid-level Clinical Data Analyst II to join its orthopaedic research data team. This role is central to the department's participation in the American Academy of Orthopaedic Surgeons (AAOS) data registries and supports a broad portfolio of clinical and operational research projects. This is a technical, research-facing position that combines data engineering, statistical analysis, and scientific collaboration. The successful candidate will work at the intersection of clinical research and applied data science, directly supporting surgeon-investigators, research staff, and trainees on projects that translate registry data into evidence for clinical and operational decision-making. The role offers the opportunity to contribute to peer-reviewed publications, work with large-scale national registry data, and develop and maintain reusable infrastructure that supports the long-term research mission of the department. Responsibilities and daily activities include: - Maintaining the AAOS data registries — including AJRR, ASR, SER, and FTR — by building and updating data pipelines in Python and SQL (Snowflake) that pull, clean, and organize registry data. - Troubleshooting data quality and integrity issues across registry-specific ingestion scripts and downstream datasets. - Preparing analysis-ready datasets for faculty and collaborators, including cohort definition, variable derivation, and quality checks. - Working with PROMIS data to support research projects through statistical analysis, machine learning, and data visualization to help answer clinical and operational questions. - Collaborating with clinical and research teams to translate research questions into clear analysis plans and study designs. - Supporting manuscript and publication efforts, including figure and table generation, methods writing, and revisions. - Mentoring students, research assistants, and junior team members on data handling, analysis, and reproducible workflows. - Documenting code, pipelines, and data sources for long-term use, reproducibility, and onboarding. - Coordinating data access and compliance needs tied to registry participation, including data use agreements and institutional requirements. Applicants are selected based on technical skill, research experience, and enthusiasm for clinical data work. Strong organizational, communication, and documentation skills are essential given the collaborative nature of the position. Remote Type Hybrid Work Location 32 Fruit Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $63,648.00 - $90,750.40/Annual Grade 6 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: 1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law.